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    Biologically inspired features for scene classification in video surveillance

    Huang, K. and Tao, D. and Yuan, Y. and Li, Xuelong and Tan, T. (2011) Biologically inspired features for scene classification in video surveillance. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 (1), pp. 307-313. ISSN 1083-4419.

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    Abstract

    Inspired by human visual cognition mechanism, this paper first presents a scene classification method based on an improved standard model feature. Compared with state-of-the-art efforts in scene classification, the newly proposed method is more robust, more selective , and of lower complexity. These advantages are demonstrated by two sets of experiments on both our own database and standard public ones. Furthermore, occlusion and disorder problems in scene classification in video surveillance are also first studied in this paper.

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 07 Jun 2013 13:24
    Last Modified: 11 Oct 2016 15:27
    URI: http://eprints.bbk.ac.uk/id/eprint/7397

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